@revista_internacional{298,
  keywords = {decision-making, hesitant fuzzy sets},
  author = {Rosa María Rodríguez and B. Bedregal and Humberto Bustince and Yucheng Dong and B. Farhadinia and C. Kahraman and Luis Martínez and Vicenç c Torra and Y.J. Xu and Z.S Xu and Francisco Herrera},
  title = {A Position and Perspective Analysis of Hesitant Fuzzy Sets on Information Fusion in Decision Making. Towards High Quality Progress},
  abstract = {Abstract The necessity of dealing with uncertainty in real world problems has been a long-term research challenge which has originated different methodologies and theories. Recently, the concept of Hesitant Fuzzy Sets (HFSs) has been introduced to model the uncertainty that often appears when it is necessary to establish the membership degree of an element and there are some possible values that make to hesitate about which one would be the right one. Many researchers have paid attention on this concept who have proposed diverse extensions, relationships with other types of fuzzy sets, different types of operators to compute with this type of information, applications on information fusion and decision-making, etc. Nevertheless, some of these proposals are questionable, because they are straightforward extensions of previous works or they do not use the concept of \HFSs\ in a suitable way. Therefore, this position paper studies the necessity of \HFSs\ and provides a discussion about current proposals including a guidelines that the proposals should follow and some challenges of HFSs.},
  year = {2016},
  journal = {Information Fusion},
  volume = {29},
  pages = {89-97},
  issn = {1566-2535},
  url = {http://www.sciencedirect.com/science/article/pii/S1566253515001025},
  doi = {http://dx.doi.org/10.1016/j.inffus.2015.11.004},
}